No usable source links are available for this idea. Its signal notes and scores need independent verification.
With Google Navigation entering the Korean market, existing navigation services — KakaoMap, Naver Map, T-map — are racing to compete on POI (Point of Interest) data quality. However, manually verifying closures, relocations, and new openings across millions of nationwide POIs costs tens of thousands of dollars per month in labor, and erroneous POIs accelerate user churn.
A service that cross-references public data (business registration status, health permit records) with web crawling (review sites, social media mentions) to automatically detect POI closures, relocations, and information changes, delivering findings via API with confidence scores. Supports daily change Reports and bulk verification API.
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |